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Guanda Li

2 accepted papers

2024

AI-CPG: Adaptive Imitated Central Pattern Generators for Bipedal Locomotion Learned Through Reinforced Reflex Neural Networks

RA-L 2024

Humans have many redundancies in their bodies and can make effective use of them to adapt to changes in the environment while walking. They can also vary their walking speed in a wide range. Human-like walking in simulation or by robots can be achieved through imitation learning. However, the walkin

Cited by 21SourceScholar
2021

Deep Reinforcement Learning Framework for Underwater Locomotion of Soft Robot

ICRA 2021poster

Soft robotics is an emerging technology with excellent application prospects. However, due to the inherent compliance of the materials used to build soft robots, it is extremely complicated to control soft robots accurately. In this paper, we introduce a data-based control framework for solving the…

Cited by 45SourceScholar